Subquadratic vs Ground
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Subquadratic compared with Ground
| Detail | 
Subquadratic | 
Ground |
|---|
| What it does | Efficiency is Intelligence
| AI revenue agents for commerce that autonomously drive growth
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| Stage | Startup
| Not given
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| Founded | Not given
| 2023
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| Based in | US
| US
|
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| Pricing model | Paid
| Not given
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| Not given
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| Key features | - 384K token context window
- Multimodal input support
- 100K tokens processed in less than a second
- Structured output for direct code use
- Subquadratic Sparse Attention algorithm for efficient compute
- $0.04 per 1M tokens pricing
- Customer content not used for model training
- Data retention limited to 60 days
| - Greet AI for new customer acquisition with 30-50% uplift
- ReBeat AI for repeat customer revenue increase of 2-4x
- Analyzes 500+ variables in real-time for purchase intent prediction
- Live in 15 minutes with zero setup required
- Integrates with Shopify, Mailchimp, Klaviyo and 15+ platforms
- Performance marketing with automated RoAS optimization
- Zero-party and first-party data focused acquisition
- Subscription revenue acceleration
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| What makes it different | - First long-context decision model purpose-built for enterprise work
- Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
- Tied for #1 on Artificial Analysis Decision Index
- Processes entire codebase or data room in single context window
- Speeds agent reasoning from minutes to seconds
| - Generates incremental revenue without increasing media budget
- Autonomously grows revenue across entire customer journey
- Integrates seamlessly in 15 minutes with no heavy lift
- Already accounts for 10% of DTC revenue for brands
- Privacy-first approach using only first-party data
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 52 ● no change since last check | 30 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 6 |
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| Citation Flow (Majestic) | 37 | 31 |
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| Referring domains (Majestic) | 654 | 206 |
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4 details filled in for both companies.
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